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Graduate School of Sciences and Technology of Innovation
Yamaguchi University, Japan
Nopphawan Tamkuan and Masahiko Nagai
How to better understand SAR, interpret
SAR products and realize the limitations
Synthetic Aperture Radar?
SAR
Remote Sensing
Long wavelength
SAR has been widely used
in disaster response
Real Aperture Radar (RAR) Synthetic Aperture Radar (SAR)
Synthetic Aperture Radar (SAR) is side
looking radar which utilizes fight path to
increase the antenna’s size (aperture)
and resolution in azimuth direction.
This system uses complicated data
processing of multi-temporal signals
and phase receiving from targets to
generate high resolution image.
• Sensor parameters
• Band
• Polarization
• Incidence angle
• Location of sensor
• Azimuth
• Look direction
• Surface parameter
• Topography
• Surface roughness
• Object geometry
• Dielectric constant
Scattering mechanisms
• Specular Reflection
• Surface scattering
• Double bounce
• Volume scattering
Understand and Interpret SAR
Radar image foreshortening
https://history.nasa.gov/JPL-93-24/p48.htm
ALOS-2 Level 1.5
ALOS-2 Level 2.1
amplitude data with range and azimuth compressed (Geo-reference)
Geometrically corrected (orthorectified)
Radar layover
https://history.nasa.gov/JPL-93-24/p48.htm
1st point
2nd point
Source: NASA
Level 1.5 ALOS-2 Level 1.5
ALOS-2 Level 1.5 ALOS-2 Level 2.1 Google earth image
Radar shadowing
https://history.nasa.gov/JPL-93-24/p48.htm
Azimuth and range directions
Ref: http://en.alos-pasco.com/alos-2/palsar-2/
Synthetic Aperture Radar (SAR)
Higher
azimuth
resolution Near range
Far range
2D
3D
descending ascending
Right
Left
Right
Left
2D
3D
descending ascending
Right
Left
Right
Left
2D
3D
descending ascending
Right
Left
Right
Left
2D
3D
descending ascending
Right
Left
Right
Left
• azimuth and range direction of the image?
Level 1.5
D
A
C
B
Azimuth
Range
Azimuth
Range
Azimuth
Range
Azimuth
Range
• azimuth and range direction of the image?
Level 1.5
D
A
C
B
Azimuth
Range
Azimuth
Range
Azimuth
Range
Azimuth
Range
• azimuth and range direction of the image?
Level 1.5
B
D
C
A
Azimuth
Range
Azimuth
Range
Azimuth
Range
Azimuth
Range
• azimuth and range direction of the image?
Level 1.5
A
D
C
B
Azimuth
Range
Azimuth
Range
Azimuth
Range
Azimuth
Range
Azimuth
Range
Azimuth
Range
Azimuth
Range
Azimuth
Range
VAPs creation and limitations
Limitations of SAR utilization for damage mapping
One SAR during flood
(Thresholding)
Discussions
• Include permanent water and flat land
• More difficult for flood under vegetation
and urban areas.
• Image change to be discrete value
Flood
Limitations of SAR utilization for damage mapping
Two image method
(Thresholding)
Discussions
• Better than just one image
• differentiate waterbody and seasonal water
from flood
• Seasonal difference 🡪 difficult to compare
• Better to use 2 image near time or in the
same season
Flood
Limitations of SAR utilization for damage mapping
Two image method
(Color composite)
Discussions
• More gradience value 🡪 more
information
• More difficult for interpretation
• Same SAR limitations
• Should consider seasonal effect
of different time acquisition to
interpretation
Flood
Before flood
During flood During flood
red color
Flood is
During flood
During flood Before flood
dark blue
Flood is
Limitations of SAR utilization for damage mapping
Two image method (needed)
Discussions
• Same SAR limitations
• More effect for geometry distortion
Landslide
Before landslide
After landslide After landslide
Limitations of SAR utilization for damage mapping
Differential SAR Interferometry
(DInSAR)
Discussions
• Fringes 🡪 Difficult to understand
• Just relative displacement
• Interferogram has many
components. Not only surface
deformation but also other effects
such as atmospheric delay,
topographic phase and noise.
Earthquake
T1
T2
T1
T2
L-band 🡪 23 cm.
C-band 🡪 5.6 cm.
Close to sensor Far away from sensor
Close to
sensor
Far away
from sensor
How to read Interferogram
Kathmandu
Before earthquake (subsidence)
Close to sensor Far away from sensor
How to read Interferogram Nepal earthquake
Close to
sensor
Far away
from sensor
Close to
sensor
Far away
from sensor
Close to
sensor
Far away
from
sensor
How to read Interferogram LOS Displacement
Close to
sensor
Far away
from sensor
Close to sensor
Far away from sensor
N
2D
Flight direction
Look direction
Kumamoto Earthquake
In 2016
Close to
sensor
Far away
from sensor
N
2D
Flight direction
Look direction
High
Low
Close to sensor
Far away from sensor
Close to
sensor
Far away
from sensor
N
2D
Flight direction
Look direction
Fujiwara, S., Yarai, H., Kobayashi, T., Morishita, Y., Nakano, T., Miyahara, B., … Une, H. (2016). Small-displacement linear surface ruptures of the 2016
Kumamoto earthquake sequence detected by ALOS-2 SAR interferometry. Earth, Planets and Space, 68(1), 160. https://doi.org/10.1186/s40623-016-0534-x
Limitations of SAR utilization for damage mapping
Interferometric coherence
change
Discussions
• Need 2 image before and one after
earthquake
• Show damage possibility
• Many decorrelation effects
• Noise in the radar system and processing
approach
• geometric coherence proportional to the
perpendicular component of the baseline
• influence of temporal backscatter change, e.g.
from surface cover change or vegetation
• No identify individual building but
show as grid result
Earthquake
ScanSAR (WD1)
Stripmap (SM3)
WD1-HH WD1-HV
SM3-HH SM3-HV
Assigned damage (interpreted by Google
earth image)
Damage 5123 (Source: Copernicus EMS)
Destroy 5352 (Source: Copernicus EMS)
Amplitude base analysis
Phase based analysis
Optical image - S2 – change detection
Multivariate Alteration Detector (MAD) algorithm
ALOS-2
Sentinel-1
Mashiki
Town
Mashiki
Town
Non-
urban
area
Urban
area
None to less damage
High damage
Possibility of damage
Different band
Different time
Different look
Kumamoto
Earthquake
In 2016
Conclusion
SAR plays important role in disaster response phase because it
can observe night and daytime, penetrate cloud and less
atmospheric effects.
However, SAR is different from optical sensor and difficult to
understand.
It is better to realize SAR characteristics and limitations to better
understand disaster mapping.

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How to better understand SAR, interpret SAR products and realize the limitations

  • 1. Graduate School of Sciences and Technology of Innovation Yamaguchi University, Japan Nopphawan Tamkuan and Masahiko Nagai How to better understand SAR, interpret SAR products and realize the limitations
  • 3.
  • 5.
  • 6. SAR has been widely used in disaster response
  • 7. Real Aperture Radar (RAR) Synthetic Aperture Radar (SAR) Synthetic Aperture Radar (SAR) is side looking radar which utilizes fight path to increase the antenna’s size (aperture) and resolution in azimuth direction. This system uses complicated data processing of multi-temporal signals and phase receiving from targets to generate high resolution image.
  • 8. • Sensor parameters • Band • Polarization • Incidence angle • Location of sensor • Azimuth • Look direction • Surface parameter • Topography • Surface roughness • Object geometry • Dielectric constant Scattering mechanisms • Specular Reflection • Surface scattering • Double bounce • Volume scattering
  • 10. Radar image foreshortening https://history.nasa.gov/JPL-93-24/p48.htm ALOS-2 Level 1.5 ALOS-2 Level 2.1 amplitude data with range and azimuth compressed (Geo-reference) Geometrically corrected (orthorectified)
  • 11. Radar layover https://history.nasa.gov/JPL-93-24/p48.htm 1st point 2nd point Source: NASA Level 1.5 ALOS-2 Level 1.5 ALOS-2 Level 1.5 ALOS-2 Level 2.1 Google earth image
  • 13.
  • 14. Azimuth and range directions Ref: http://en.alos-pasco.com/alos-2/palsar-2/
  • 15. Synthetic Aperture Radar (SAR) Higher azimuth resolution Near range Far range
  • 20. • azimuth and range direction of the image? Level 1.5 D A C B Azimuth Range Azimuth Range Azimuth Range Azimuth Range
  • 21. • azimuth and range direction of the image? Level 1.5 D A C B Azimuth Range Azimuth Range Azimuth Range Azimuth Range
  • 22. • azimuth and range direction of the image? Level 1.5 B D C A Azimuth Range Azimuth Range Azimuth Range Azimuth Range
  • 23. • azimuth and range direction of the image? Level 1.5 A D C B Azimuth Range Azimuth Range Azimuth Range Azimuth Range
  • 25. VAPs creation and limitations
  • 26. Limitations of SAR utilization for damage mapping One SAR during flood (Thresholding) Discussions • Include permanent water and flat land • More difficult for flood under vegetation and urban areas. • Image change to be discrete value Flood
  • 27. Limitations of SAR utilization for damage mapping Two image method (Thresholding) Discussions • Better than just one image • differentiate waterbody and seasonal water from flood • Seasonal difference 🡪 difficult to compare • Better to use 2 image near time or in the same season Flood
  • 28. Limitations of SAR utilization for damage mapping Two image method (Color composite) Discussions • More gradience value 🡪 more information • More difficult for interpretation • Same SAR limitations • Should consider seasonal effect of different time acquisition to interpretation Flood
  • 29. Before flood During flood During flood red color Flood is During flood During flood Before flood dark blue Flood is
  • 30. Limitations of SAR utilization for damage mapping Two image method (needed) Discussions • Same SAR limitations • More effect for geometry distortion Landslide
  • 32.
  • 33. Limitations of SAR utilization for damage mapping Differential SAR Interferometry (DInSAR) Discussions • Fringes 🡪 Difficult to understand • Just relative displacement • Interferogram has many components. Not only surface deformation but also other effects such as atmospheric delay, topographic phase and noise. Earthquake
  • 34. T1 T2 T1 T2 L-band 🡪 23 cm. C-band 🡪 5.6 cm. Close to sensor Far away from sensor
  • 35. Close to sensor Far away from sensor How to read Interferogram Kathmandu Before earthquake (subsidence) Close to sensor Far away from sensor
  • 36. How to read Interferogram Nepal earthquake Close to sensor Far away from sensor Close to sensor Far away from sensor
  • 37. Close to sensor Far away from sensor How to read Interferogram LOS Displacement
  • 38. Close to sensor Far away from sensor Close to sensor Far away from sensor N 2D Flight direction Look direction Kumamoto Earthquake In 2016
  • 39. Close to sensor Far away from sensor N 2D Flight direction Look direction High Low Close to sensor Far away from sensor
  • 40. Close to sensor Far away from sensor N 2D Flight direction Look direction Fujiwara, S., Yarai, H., Kobayashi, T., Morishita, Y., Nakano, T., Miyahara, B., … Une, H. (2016). Small-displacement linear surface ruptures of the 2016 Kumamoto earthquake sequence detected by ALOS-2 SAR interferometry. Earth, Planets and Space, 68(1), 160. https://doi.org/10.1186/s40623-016-0534-x
  • 41. Limitations of SAR utilization for damage mapping Interferometric coherence change Discussions • Need 2 image before and one after earthquake • Show damage possibility • Many decorrelation effects • Noise in the radar system and processing approach • geometric coherence proportional to the perpendicular component of the baseline • influence of temporal backscatter change, e.g. from surface cover change or vegetation • No identify individual building but show as grid result Earthquake
  • 42. ScanSAR (WD1) Stripmap (SM3) WD1-HH WD1-HV SM3-HH SM3-HV Assigned damage (interpreted by Google earth image) Damage 5123 (Source: Copernicus EMS) Destroy 5352 (Source: Copernicus EMS) Amplitude base analysis Phase based analysis Optical image - S2 – change detection Multivariate Alteration Detector (MAD) algorithm
  • 43. ALOS-2 Sentinel-1 Mashiki Town Mashiki Town Non- urban area Urban area None to less damage High damage Possibility of damage Different band Different time Different look Kumamoto Earthquake In 2016
  • 44. Conclusion SAR plays important role in disaster response phase because it can observe night and daytime, penetrate cloud and less atmospheric effects. However, SAR is different from optical sensor and difficult to understand. It is better to realize SAR characteristics and limitations to better understand disaster mapping.